Dimitri von Rütte

According to our database, Dimitri von Rütte authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deriving Hyperparameter Scaling Laws via Modern Optimization Theory.

Egor Shulgin, Dimitri von Rütte, Tianyue H. Zhang, Niccolò Ajroldi, Bernhard Schölkopf, Antonio Orvieto

CoRR, March, 2026

2025

Scaling Behavior of Discrete Diffusion Language Models.

Dimitri von Rütte, Janis Fluri, Omead Pooladzandi, Bernhard Schölkopf, Thomas Hofmann, Antonio Orvieto

CoRR, December, 2025

Exploring Magnitude Preservation and Rotation Modulation in Diffusion Transformers.

Eric Tillman Bill, Cristian Perez Jensen, Sotiris Anagnostidis, Dimitri von Rütte

CoRR, May, 2025

Generalized Interpolating Discrete Diffusion.

Dimitri von Rütte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schölkopf, Thomas Hofmann

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A Language Model's Guide Through Latent Space.

Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FABRIC: Personalizing Diffusion Models with Iterative Feedback.

Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

OpenAssistant Conversations - Democratizing Large Language Model Alignment.

Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi Rui Tam, Keith Stevens, Abdullah Barhoum, Nguyen Minh Duc, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

CoRR, 2023

OpenAssistant Conversations - Democratizing Large Language Model Alignment.

Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi Rui Tam, Keith Stevens, Abdullah Barhoum, Duc Nguyen, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FIGARO: Controllable Music Generation using Learned and Expert Features.

Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control.

Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hoffman

CoRR, 2022